转化漏斗与成交优化方案

SKILL商业运营

原名 SaaSy Trends 转化漏斗与成交优化|简诗 AI · 标识 sales-saasytrends

商业运营 未标注权限 许可证不明确
安装这个技能

围绕转化漏斗与成交优化给出具体执行方法,涵盖目标设定、渠道选择、预算安排、团队协同、指标跟踪与复盘优化,形成可落地的销售方案。

一句话选型结论

按资料字段整理

转化漏斗与成交优化方案是商业运营类的 Agent Skill,安装方式未标注,权限级别未标注,许可证不明确,有可直接复制的安装命令。技能本质是给模型读的说明书,效果取决于模型与客户端;装完先用一个小任务验证,再放进正式流程。

分类商业运营 安装方式未标注 权限级别未标注权限 许可证许可证不明确
累计安装 未标注 本周 未标注
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权限级别 未标注权限 安装前请确认风险范围
许可证 许可证不明确 未说明

安装

未标注
在支持 Skills 的客户端里执行,装完问一句「你有哪些技能」验证
skillhub install user_fccf428b/sales-saasytrends
  1. 1
    确认客户端支持

    确认你的客户端支持 Skills(Claude、Codex、Cursor 等),并升级到较新的版本。

  2. 2
    拿到技能文件

    执行上面的命令安装;也可以把仓库里的 SKILL.md 手动放进客户端的 skills 目录。

  3. 3
    刷新技能列表

    重新打开客户端,或刷新技能列表,让新放进来的技能被加载。

  4. 4
    验证是否生效

    问一句「你有哪些技能」,确认列表里出现它,再拿一个小任务试跑。

技能档案

商业运营
字段来自技能仓库与公开索引,中文说明由本站标注
作者 / 维护方user_fccf428b仓库 未标注 · 版本 未标注
宿主客户端未标注技能可被这些客户端加载
安装方式未标注安装包 community
权限级别未标注权限安装前请确认风险范围
许可证未说明许可证不明确,商用前请自行确认条款
仓库可用性available技能仓库当前是否可访问
最近核验2026-11-06上游最后核验时间 · 数据更新 2026-11-06
正文体量14.9 KBSKILL.md 原文大小,越大说明说明书写得越细

能做什么

0 项能力
上游给出的能力概览与适用场景
设计转化漏斗规划渠道与预算复盘成交优化

典型使用场景

3 类
按分类整理的常见用法,具体以 SKILL.md 为准
写运营方案

按目标产出活动方案与执行清单。

分析数据与指标

从报表里找问题、给结论。

整理客户与销售材料

把客户信息与话术整理成可直接用的材料。

选择建议

装之前先看这几条
按条目字段给出的判断,不替你决定用不用

值得选的地方

  • 有可直接复制的安装命令,不用自己翻文档找入口。

先想清楚的地方

  • 没有标注权限级别,实际能做什么要装好后确认。
  • 许可证不明确,商用或二次分发前先到仓库确认条款。
  • 没有做站内核验,内容以作者仓库为准。
  • 技能只是说明书,实际效果取决于模型与客户端,装完先用小任务试一遍。

更适合

  • 需要在商业运营场景里给模型补一套做法的人。
  • 愿意先读一遍 SKILL.md、确认它会让模型做什么的人。

不太适合

  • 对许可证要求很严、必须明确可商用的人。
  • 只想装完就自动变强、不打算看说明书的人。

同类对比

6 个同类
同分类里挑最接近的几条,字段以各自详情页为准
技能权限级别安装方式累计安装宿主客户端安装命令
转化漏斗与成交优化方案当前 未标注权限 未标注 未标注 未标注 有
MX 股票筛选器 联网访问 ClawHub 市场 79.9 万 OpenClaw 有
交易 未标注权限 ClawHub 市场 58.1 万 OpenClaw 有
营销技巧 只读 ClawHub 市场 54.0 万 OpenClaw 有
百灵鸟好 联网访问 GitHub 仓库 52.6 万 Codex、Claude、Cursor 有
股票信息浏览器 接触敏感数据 ClawHub 市场 40.5 万 OpenClaw 有

SKILL.md 全文

14.9 KB
模型实际读到的说明书原文,来自技能仓库

SaaSy Trends Platform Help

SaaSy Trends (saasytrends.com) is a SaaS competitor/trend database and idea-discovery tool: a
searchable index of 30,000+ SaaS companies across 2,000+ categories, each ranked by the growth of
its Google brand-search volume
(what people search to find that company, refreshed monthly). You use
it to spot rising niches, scan the competitors in a category, and find a niche worth cloning, backed
by a free OpenAI-powered SaaS Idea Generator and free utility tools (Terms-of-Service / Privacy-Policy
generators, Google-Docs-to-HTML). It is a discovery / market-research tool, not proof that anyone
will pay for your idea, and it has no public API — it's a UI web app with a one-time lifetime plan.

Step 1 — Gather context

If references/learnings.md exists, read it first for accumulated platform knowledge.

Ask only what you can't infer:

  1. What do you want from SaaSy Trends?
    - A) Mine the database (companies ranked by brand-search-volume growth) to find a rising niche or competitor set
    - B) Run the free SaaS Idea Generator and interpret what it hands back
    - C) Understand the free tools vs the paid plan (what the one-time lifetime plan unlocks, the 100-product tracking cap)
    - D) Get the data out / automate it (export / API reality)
    - E) Judge whether the brand-search-volume signal is trustworthy enough to act on
  2. What's the real question — "what should I build / is this idea worth building?" or "how do I use this tool?"
    If it's the go/no-go decision, that's /sales-idea-validation (a database browse and an AI-generated
    idea are not demand) — route in Step 2.

Skip-ahead: if the user wants the validate-before-building method or to compare validators across the
market, that's a /sales-idea-validation question — route immediately.

Step 2 — Route or answer directly

If the user's question is about… Route to
The validate-before-building method, or the go/no-go decision itself /sales-idea-validation {question}
Comparing SaaSy Trends against other validators/discovery tools (IdeaBrowser, BuildOrNot, VentureVault, Ideagrape…) /sales-idea-validation {question}
Reddit-based real-demand discovery / scoring as its own workflow /sales-trendseeker {question}
Broader trend / content research (topics, keywords for content) /sales-content {question}
Building the smoke-test / fake-door landing page to test real demand /sales-funnel {question}
Growing a pre-launch waitlist / capturing real demand /sales-audience-growth {question}

When routing, give the exact command: "This is a {domain} question — run: /sales-idea-validation {original question}"

Otherwise, answer SaaSy Trends-specific questions using Step 3.

Step 3 — SaaSy Trends platform reference

Read references/platform-guide.md for the full reference — the database and its filters, what
"brand-search-volume growth" actually measures and its blind spots, the free tools (Idea Generator +
legal/utility generators), the one-time lifetime pricing and the 100-product tracking cap, and the
no-public-API automation reality (no API/webhooks/Zapier/MCP).

Answer using only the relevant section — don't dump the full reference.

Step 4 — Actionable guidance

  • Use SaaSy Trends for discovery, not for the decision. Its real value is the database — 30,000+
    companies across 2,000+ categories ranked by brand-search-volume growth — to find a rising niche and
    see who already competes in it
    . Tell the user to treat it as a shortlist + competitor/market scan,
    then take the go/no-go from a real demand test (smoke test / pre-sale), not from a database browse.
    Route the real test to /sales-idea-validation.
  • Frame "brand-search-volume growth" precisely — it's demand for existing companies, not for your
    idea.
    The metric is the monthly growth of Google searches for a company's brand terms; rising volume
    means that incumbent is gaining traction, which signals a hot niche and validates that a market
    exists — but it says nothing about whether a new entrant (yours) can win, or whether anyone wants
    your specific twist. Explain it as a niche/competitor signal, not idea validation.
  • Treat the free Idea Generator's output as a directional prompt, not demand. It's an OpenAI
    wrapper
    that returns ideas "based on validated business problems" drawn from the database — useful for
    angles and differentiation, but it validates nothing. Tell the user to keep the framing (niche,
    differentiation, competitor list) and earn the real answer from a smoke test / pre-sale.
  • Verify the numbers — the data is estimated and AI-categorized. Companies are pulled from 20+
    sources, categorized by AI, and enriched with search-volume estimates; brand-search volume is a proxy
    (it misses companies people find without searching the brand, and can be inflated by generic-name
    collisions). Have the user sanity-check any volume/growth figure and category placement against a
    primary source (the company's own traffic, similarweb) before quoting it.
  • Set pricing expectations as best-effort, and point to the live page. There's a single one-time
    lifetime plan
    (INDIVIDUAL, ~one payment) unlocking full database access, tracking of 100 SaaS
    products
    , 1 seat, and no ads; the Idea Generator, legal/utility generators, and the weekly newsletter
    are free. Present all pricing/limits as best-effort — confirm on saasytrends.com/pricing (a small
    indie tool, terms move).
  • There's no public API — don't plan an integration around it. If asked to export or automate, say
    plainly there's no documented public API, no webhooks, no Zapier/Make, no MCP — it's a UI web app.
    Give the workable fallbacks: (1) copy the data you can see into your own store (mind their terms and
    the 100-product tracking cap), and (2) pull brand-search-volume from source yourself — Google
    Keyword Planner / an SEO API (Ahrefs, Semrush) — if you need it scripted. The thing worth automating is
    a real demand signal (landing-page conversions), not the directory.

If you discover a gotcha or tip not in references/learnings.md, append it there with today's date.

Gotchas

Best-effort from research (2026-07) — SaaSy Trends is a small indie tool; its pricing, database counts,
and metric definitions move. Verify at saasytrends.com.

  • Brand-search-volume growth ≠ validated demand for your idea. It measures how fast searches for an
    existing company's brand are growing — a niche/competitor heat signal, not evidence a new entrant (or
    your specific twist) will get paid. Take the go/no-go from a real behavior test.
  • The signal is a proxy with blind spots. Brand-search volume misses companies discovered without a
    brand search (word of mouth, app stores, integrations) and can be skewed by generic or colliding brand
    names; the numbers are estimates, not audited analytics.
  • The data is AI-categorized from 20+ sources. Category and sub-category placement is automated, so a
    company can sit in the "wrong" bucket — verify category leaders rather than trusting the label.
  • The free Idea Generator is an OpenAI wrapper. It returns plausible ideas from database problems in
    15–30s; it's a brainstorming aid, not a validator — a generated idea is not demand.
  • One plan, one-time payment, 100-product tracking cap. The paid tier is a single lifetime
    purchase (no subscription); tracking is capped at 100 SaaS products on 1 seat. Confirm current
    pricing/limits on the site before quoting.
  • No public API, no webhooks, no Zapier/Make/MCP. It's a UI web app — you can't script or batch it;
    pull brand-search volume from an SEO API yourself if you need it programmatically.

Related skills

  • /sales-idea-validation — The tool-agnostic validate-before-building method + the full validator/discovery landscape (use this to actually decide build-or-not; a database browse and an AI-generated idea are not demand)
  • /sales-buildornot — BuildOrNot platform help (a sibling startup-idea discovery data platform + free AI evaluator — datasets of revenue-ranked tools, Reddit ideas, trending topics; the data is a shortlist, not demand)
  • /sales-venturevault — VentureVault platform help (a free browsable vault of AI-scored, pre-researched startup ideas — discovery, not demand)
  • /sales-trendseeker — Trend Seeker platform help (Reddit-based demand discovery + evidence scoring — a real-signal sibling to SaaSy Trends' database)
  • /sales-content — Broader trend / topic / keyword research for content once you've picked a niche
  • /sales-funnel — Build the smoke-test / fake-door landing page the real demand test runs on
  • /sales-audience-growth — Grow a pre-launch waitlist and capture real demand
  • /sales-do — Not sure which skill to use? The router matches any sales objective to the right skill. Install: npx skills add sales-skills/sales --skill sales-do -a claude-code

Examples

Example 1: "I want to build something in a growing niche — can SaaSy Trends help me find one?"

User says: "I want to clone a smaller version of a SaaS that's clearly taking off. Is SaaSy Trends good for finding one?"
Skill does: Positions SaaSy Trends as a discovery tool — point the user at the database, sorted by
brand-search-volume growth, filtered by category / business model, to build a shortlist of rising
niches and scan each niche's incumbents. Frames the growth metric as a signal that an incumbent is
gaining traction
(a hot niche), not that a new entrant will win, and warns the volume/category data are
AI-estimated (verify against a primary source). Then insists the go/no-go comes from a real demand test,
routing the decision to /sales-idea-validation and deeper Reddit signal to /sales-trendseeker.
Result: The user gets a data-driven shortlist of growing niches to research, not a false sense that a rising competitor equals demand for their version.

Example 2: "SaaSy Trends' idea generator gave me a great idea — should I build it?"

User says: "I used the free SaaS Idea Generator and it gave me an idea I love. Good to go?"
Skill does: Explains the generator is an OpenAI wrapper producing ideas from database problems —
useful for angles and differentiation but validating nothing on its own. Tells the user to keep the
niche/differentiation/competitor framing and earn a real answer: a smoke-test landing page to a pre-set
conversion threshold, then a pre-sale for willingness-to-pay — routing the real test to
/sales-idea-validation. Also notes the brand-search-volume ranking can confirm the niche is hot even
when the specific idea still needs testing.
Result: The founder gets real demand signal before building, using the generator's structure, not its enthusiasm.

Example 3: Can I export SaaSy Trends' database via an API? (developer/automation)

User says: "I want to pull SaaSy Trends' brand-search-volume rankings into my own database via API."
Skill does: States plainly there's no documented public API, no webhooks, no Zapier/Make, no MCP
— it's a UI web app with a 100-product tracking cap on the paid plan, so there's no supported way to
export programmatically. Suggests the fallbacks: copy the visible data into your own store (mind their
terms and the cap), or reconstruct the signal from source — pull brand-term search volume via Google
Keyword Planner or an SEO API (Ahrefs, Semrush) and rank it yourself. Notes the thing worth automating is
a real demand signal (landing-page analytics), not the directory.
Result: The user avoids building on a non-existent API and picks a workable path to the underlying signal.

Troubleshooting

A rising company on SaaSy Trends doesn't feel like it validates my idea

Symptom: A competitor's brand-search volume is climbing, but you're unsure that means your version will sell.
Cause: Brand-search-volume growth measures demand for an existing company's brand — it confirms
the niche is heating up, not that a new entrant (or your specific twist) will win.
Solution: Use the signal to pick a hot niche and scan incumbents, then earn the go/no-go from a real
demand test — a smoke-test landing page and a pre-sale — via /sales-idea-validation.

The volume or category numbers look off

Symptom: A company's search-volume figure or category placement doesn't match what you expected.
Cause: SaaSy Trends pulls from 20+ sources, categorizes with AI, and enriches with estimated
search volume — brand-search volume misses non-search discovery and can be skewed by name collisions.
Solution: Treat the numbers as directional and verify any figure/category against a primary source
(the company's own traffic, similarweb) before quoting it or basing a decision on it.

I want an API or a way to export/automate the database

Symptom: Want to script SaaSy Trends or pull its rankings into another system.
Cause: SaaSy Trends has no documented public API, webhooks, or iPaaS connectors — it's a UI web app,
and the paid plan tracks only 100 SaaS products.
Solution: Copy the visible data into your own store (mind their terms and the cap), or reconstruct the
signal from source — pull brand-term search volume via Google Keyword Planner or an SEO API (Ahrefs,
Semrush) and rank it yourself. Automate a real demand signal (landing-page analytics) instead. See
/sales-idea-validation.

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常见问题

5 问
答案由本站依据条目字段整理
转化漏斗与成交优化方案怎么安装?

在支持 Skills 的客户端里执行:skillhub install user_fccf428b/sales-saasytrends。安装方式为未标注。装完刷新技能列表或重开客户端。

转化漏斗与成交优化方案支持哪些客户端?

资料没有标注宿主客户端,但只要客户端支持 Skills(Claude、Codex、Cursor 等),一般都能加载。

转化漏斗与成交优化方案权限高吗,安全吗?

权限级别为未标注权限。安装前先看它会读取或写入哪些内容。

转化漏斗与成交优化方案收费吗?

本站不代收费用,也没有标注具体价格。是否收费取决于技能本身和所用的模型或客户端,正式使用前按作者说明确认。

转化漏斗与成交优化方案用什么许可证?

许可证标注为 未说明(许可证不明确)。商用或二次分发前请到仓库确认条款原文。

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技能内容以作者仓库为准;分类、权限级别与许可证状态的中文说明为中文整理,最近核验 2026-11-06。